CN103006182A - Household preliminary detecting system of SAHS (Sleep Apnea Hypopnea Syndrome) - Google Patents
Household preliminary detecting system of SAHS (Sleep Apnea Hypopnea Syndrome) Download PDFInfo
- Publication number
- CN103006182A CN103006182A CN2012105296489A CN201210529648A CN103006182A CN 103006182 A CN103006182 A CN 103006182A CN 2012105296489 A CN2012105296489 A CN 2012105296489A CN 201210529648 A CN201210529648 A CN 201210529648A CN 103006182 A CN103006182 A CN 103006182A
- Authority
- CN
- China
- Prior art keywords
- snoring
- sound
- time
- value
- ahi
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Abstract
The invention discloses a household preliminary detecting system of SAHS (Sleep Apnea Hypopnea Syndrome). The household preliminary detecting system comprises a collecting device and an intelligent detecting device, wherein the collecting device is used for collecting snoring audio data of a patient; the intelligent detecting device is used for receiving the snoring audio data and carrying out preliminary detection; the collecting device is connected with the intelligent detecting device; and the intelligent detecting device comprises a collecting module which is used for collecting snoring data, a detecting module which is used for calculating an AHI (Apnea Hypopnea Index) value, and a judging module which is used for presetting a threshold value, and the patient can be determined to suffer from suspected SAHS if a current AHI value is larger than the threshold value.
Description
Technical field
The present invention relates to the medical science assisted detection system, especially a kind of preliminary detection system of sleep apnea syndrome.
Background technology
Sleep apnea syndrome refers to every night in 7 hours sleep procedure that asphyxia shows effect more than 30 times or apnea hypopnea indexes (AHI) 〉=5 time/hour repeatedly.Asphyxia refers to that the mouth and nose respiratory air flow stops more than 10 seconds fully in the sleep procedure.Apnea hypopnea indexes per hour refers to that the length of one's sleep, internal respiration was suspended the number of times that adds low ventilation.Difference according to the AHI value can be divided into sleep apnea syndrome, can be divided into pure snoring when AHI＜5 time/hour; When 5≤AHI＜21 time/hour, can be divided into patients with mild; When 21≤AHI＜41 time/hour, can be divided into the moderate patient; When AHI 〉=41 time/hour, can be divided into the severe patient.
The main clinical manifestation of sleep apnea syndrome is: the clinical symptoms such as snoring, in the daytime extremely drowsiness, headache, personality sudden change.Sleep apnea syndrome should disease main harm be to cause the too high grievous injury that causes whole body multisystem, many organs of carbonic acid content in the blood owing to hypoxia occuring when the sleep; As easily sending out hypertension, coronary heart disease, heart failure, arrhythmia, severe patient even can die suddenly, its infringement to kidney, nervous system and hormonal system is also quite large.
Snoring is one of the most common, topmost Clinical symptoms of sleep apnea syndrome, and main manifestations is giving great volume of the sound of snoring, the time low when high, sometimes can interrupt fully, very irregular, severe patient even can be suppressed awake.Suppress the clinical pictures such as rear appearance is nervous, cardiopalmus, profuse sweating of waking up.So can confirm tentatively whether the measured suffers from sleep apnea syndrome and can judge its ill order of severity and risk factor by analyzing sound of snoring voice data, provide simultaneously corresponding treatment suggestion.
Summary of the invention
In order to overcome the deficiency that can't effectively detect sleep apnea syndrome in the prior art, the preliminary detection system of the domestic sleep apnea syndrome that the invention provides a kind of auxiliary detection apnea syndrome, interference is little, cost is low, is easy to realize.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of preliminary detection system of domestic sleep apnea syndrome, comprise gathering the collecting device of patient's sound of snoring voice data, and in order to receive sound of snoring voice data and to carry out the intelligent detection device of Preliminary detection, described collecting device is connected with described intelligent detection device, and described intelligent detection device comprises:
Acquisition module is used for gathering sound of snoring data;
Detection module is used for the starting point t that determines that the measured begins in the sleep procedure sound of snoring
BeginningWith terminating point t
Stop, the interval in the continuous several times sound of snoring between twice independent sound of snoring is the sound of snoring cycle, records sound of snoring zero-time ti and sound of snoring zero-time t next time
I+1, t wherein
iIt is the zero-time of the i time sound of snoring; If measured's asphyxia number of times is n, T
i=t
I+1-t
i, again by comparing T
iWith T
NormallySize, such as T
i＜T
NormallyThe time, measured's asphyxia frequency n is constant; If T
i〉=T
NormallyThe time, measured's asphyxia frequency n adds 1, wherein T
iIt is the interval between twice snoring in the i time continuous snoring process; Again by calculating the value of AHI: AHI=[n (t
Beginning-t
Stop)], wherein, [] is the symbol that rounds up, apneic number of times, t occur in n in the whole sleep procedure of measured
Beginning-t
StopBe the time of this section sleep, unit of time is hour;
Discrimination module is used for predetermined threshold value, is judged to be doubtful sleep apnea syndrome during greater than threshold value such as current AHI value.
Further, described threshold value comprises first threshold, Second Threshold and the 3rd threshold value from small to large, less than first threshold, is judged to be normal such as current AHI value; More than or equal to first threshold, and less than Second Threshold, be judged to be patients with mild such as current AHI value; More than or equal to Second Threshold, and less than the 3rd threshold value, be judged to be the moderate patient such as current AHI value; More than or equal to the 3rd threshold value, be judged to be the severe patient such as current AHI value.
Further, described collecting device comprises the first radio receiving transmitting module, and described intelligent detection device comprises the second radio receiving transmitting module, described the first radio receiving transmitting module and the communication connection of the second radio receiving transmitting module.
Beneficial effect of the present invention is mainly manifested in: adopt existing equipment technology such as smart mobile phone and carry with the wired earphone of mike, common home computer.The present invention only needs at collecting device (smart mobile phone, panel computer etc.), normal domestic use computer corresponding function analysis software to be installed can realize function of the present invention, need not other any extra devices.This makes the sleep comfort level that cost of the present invention is low, be easy to realize, do not affect the measured.This also will help people to judge more easily whether the measured suffers from sleep apnea syndrome, reduce this disease to people's harm.
Description of drawings
Fig. 1 is system block diagram of the present invention.
The specific embodiment
The invention will be further described below in conjunction with accompanying drawing.
With reference to Fig. 1, a kind of preliminary detection system of domestic sleep apnea syndrome, comprise gathering the collecting device of patient's sound of snoring voice data, and in order to receive sound of snoring voice data and to carry out the intelligent detection device of Preliminary detection, described collecting device is connected with described intelligent detection device, and described intelligent detection device comprises:
Acquisition module is used for gathering sound of snoring data;
Detection module is used for the starting point t that determines that the measured begins in the sleep procedure sound of snoring
BeginningWith terminating point t
Stop, the interval in the continuous several times sound of snoring between twice independent sound of snoring is the sound of snoring cycle, records sound of snoring zero-time t
iSound of snoring zero-time t next time
I+1, t wherein
iIt is the zero-time of the i time sound of snoring; If measured's asphyxia number of times is n, T
1=t
I+1-t
i, again by comparing T
iWith T
NormallySize, such as T
i＜T
NormallyThe time, measured's asphyxia frequency n is constant; If T
i〉=T
NormallyThe time, measured's asphyxia frequency n adds 1, wherein T
iIt is the interval between twice snoring in the i time continuous snoring process; Again by calculating the value of AHI: AHI=[n (t
Beginning-t
Stop)], wherein [] is the symbol that rounds up, such as [4.2]=5, apneic number of times occurs in n in the whole sleep procedure of measured; t
Beginning-t
StopBe the time of this section sleep, its time unit is hour (h);
Discrimination module is used for predetermined threshold value, is judged to be doubtful sleep apnea syndrome during greater than threshold value such as current AHI value.
The preliminary detection system of present embodiment is provided with the collecting device that gathers the sound of snoring, the PC that is used for receiving the sound of snoring and analyzes the sound of snoring.Collecting device and PC are interconnective by wlan network.
Collecting device is provided with sound of snoring harvester, sound of snoring processing and analytical system, WLAN module.Sound of snoring harvester will gather measured's sound of snoring voice data, and sound of snoring harvester can be the common wired earphone with mike.The sound of snoring is processed and analytical system will be carried out to the sound of snoring voice data that is collected by the sound of snoring harvester preliminary treatments such as A/D conversion, the sound of snoring voice data that to change simultaneously sends to PC by the WLAN module, simultaneously sound of snoring processing and analytical system can be carried out on-line analysis to sound of snoring voice data, and analysis result output is returned to the measured and provides treatment advice.
PC is provided with WLAN module, memory module, sound of snoring analytical system.PC receives the sound of snoring voice data that collects from the collecting device end by the WLAN module, and it is stored in the memory module in the PC.Sound of snoring analytical system can be carried out on-line analysis to sound of snoring data also can carry out off-line analysis to the sound of snoring.During on-line analysis, directly adopt the sound of snoring voice data that receives from the WLAN module; During off-line analysis, with the sound of snoring voice data that calls in the memory module.To provide analysis result behind the sound of snoring analytical system end of run and corresponding treatment advice will be provided.
Sound of snoring analysis analytical system in the PC end and the sound of snoring processing in the collecting device end and the major function of analytical system are tentatively to determine the truth of measured in sleep procedure by the sound of snoring voice data that monitors in measured's sleep procedure is analyzed.In the process that the voice data of the sound of snoring is analyzed, at first determine the measured starting point t that the sound of snoring begins in sleep procedure
BeginningWith terminating point t
Stop, be sound of snoring cycle T according to the interval between twice independent sound of snoring in the audio frequency characteristics of this section sound of snoring such as amplitude H, the continuous several times sound of snoring again.The normal interval of supposing twice time between the independent sound of snoring is T
Normally, the normal sound of snoring amplitude of eupnea sound is H
NormallyLoud degree such as the larger explanation of amplitude h measured snoring is higher, otherwise then loudness is lower; If as amplitude h〉H
NormallyIn time, can be thought it that measured begins to snore and records the time of this moment and is t
Beginning, as amplitude h＜H
NormallyThe time it can be thought the measured be through with the snoring and record this moment time be t
StopIf twice interlude t between the sound of snoring independently〉T
Normally, illustrate that then the asphyxia phenomenon has during this period of time occured the measured; If blanking time t＜T
Normally, can illustrate that then asphyxia does not during this period of time occur the measured.
In the present embodiment, we can be by measuring a series of interval T1, T2, the T3 between the sound of snoring twice ... Deng, and record sound of snoring zero-time ti and sound of snoring zero-time t next time
I+1, t wherein
iIt is the zero-time of the i time sound of snoring.Coming this series data that collects is carried out analyzing and processing by corresponding algorithm again, is n such as hypothesis measured asphyxia number of times, T
i=t
I+1-T
i, again by comparing T
iWith T
NormallySize, such as T
i＜T
NormallyThe time, measured's asphyxia frequency n is constant; If T
i〉=T
NormallyThe time, measured's asphyxia frequency n adds 1, wherein T
iIt is the interval between twice snoring in the i time continuous snoring process.Again by calculating the value of AHI: AHI=[n (t
Beginning-t
Stop)], wherein [] for rounding up such as [4.2]=5, and wherein apneic number of times, t occur in n in the whole sleep procedure of measured
Beginning-t
StopFor its time unit of time of this section sleep is hour (h).Can judge again measured's sleep state by AHI value relatively, if AHI＜5 o'clock then can be divided into normal measured; If 5≤AHI＜21 o'clock then can be divided into patients with mild; If 21≤AHI＜41 o'clock then can be divided into the moderate patient; If during 41≤AHI then can be divided into the severe patient.Can analyze tentatively briefly probability and the extent of injury the thereof whether measured has the generation sleep apnea syndrome according to above index of correlation such as AHI.Thereby can further provide treatment advice, in order to avoid sb.'s illness took a turn for the worse threat to life.
Claims (3)
1. the preliminary detection system of a domestic sleep apnea syndrome, it is characterized in that: the collecting device that comprises gathering patient's sound of snoring voice data, and in order to receive sound of snoring voice data and to carry out the intelligent detection device of Preliminary detection, described collecting device is connected with described intelligent detection device, and described intelligent detection device comprises:
Acquisition module is used for gathering sound of snoring data;
Detection module is used for the starting point t that determines that the measured begins in the sleep procedure sound of snoring
BeginningWith terminating point t
Stop, the interval in the continuous several times sound of snoring between twice independent sound of snoring is the sound of snoring cycle, records sound of snoring zero-time t
iSound of snoring zero-time t next time
I+1, t wherein
iIt is the zero-time of the i time sound of snoring; If measured's asphyxia number of times is n, T
i=t
I+1-t
i, again by comparing T
iWith T
NormallySize, such as T
i＜T
NormallyThe time, measured's asphyxia frequency n is constant; If T
i〉=T
NormallyThe time, measured's asphyxia frequency n adds 1, wherein T
iIt is the interval between twice snoring in the i time continuous snoring process; Again by calculating the value of AHI: AHI=[n (t
Beginning-t
Stop)], wherein, [] is the symbol that rounds up, apneic number of times, t occur in n in the whole sleep procedure of measured
Beginning-t
StopBe the time of this section sleep, unit of time is hour;
Discrimination module is used for predetermined threshold value, is judged to be doubtful sleep apnea syndrome during greater than threshold value such as current AHI value.
2. the preliminary detection system of domestic sleep apnea syndrome as claimed in claim 1, it is characterized in that: described threshold value comprises first threshold, Second Threshold and the 3rd threshold value from small to large, less than first threshold, is judged to be normal such as current AHI value; More than or equal to first threshold, and less than Second Threshold, be judged to be patients with mild such as current AHI value; More than or equal to Second Threshold, and less than the 3rd threshold value, be judged to be the moderate patient such as current AHI value; More than or equal to the 3rd threshold value, be judged to be the severe patient such as current AHI value.
3. the preliminary detection system of domestic sleep apnea syndrome as claimed in claim 1 or 2, it is characterized in that: described collecting device comprises the first radio receiving transmitting module, described intelligent detection device comprises the second radio receiving transmitting module, described the first radio receiving transmitting module and the communication connection of the second radio receiving transmitting module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210529648.9A CN103006182B (en) | 2012-12-06 | 2012-12-06 | Household preliminary detecting system of SAHS (Sleep Apnea Hypopnea Syndrome) |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210529648.9A CN103006182B (en) | 2012-12-06 | 2012-12-06 | Household preliminary detecting system of SAHS (Sleep Apnea Hypopnea Syndrome) |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103006182A true CN103006182A (en) | 2013-04-03 |
| CN103006182B CN103006182B (en) | 2014-12-17 |
Family
ID=47955680
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210529648.9A Active CN103006182B (en) | 2012-12-06 | 2012-12-06 | Household preliminary detecting system of SAHS (Sleep Apnea Hypopnea Syndrome) |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103006182B (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103251388A (en) * | 2013-04-25 | 2013-08-21 | 北京大学深圳研究生院 | Method and system of snoring monitoring and prevention and treatment based on smart phone platform |
| CN103385707A (en) * | 2013-07-31 | 2013-11-13 | 太仓市同维电子有限公司 | Intelligent router capable of distinguishing snore types and distinguishing method thereof |
| CN103622697A (en) * | 2013-11-27 | 2014-03-12 | 广州医学院第一附属医院 | Sleeping breathing pathological typing method |
| CN103735267A (en) * | 2014-01-02 | 2014-04-23 | 上海大学 | Device for screening OSAHS (Obstructive Sleep Apnea-Hypopnea Syndrome) based on snore |
| CN105796055A (en) * | 2016-03-02 | 2016-07-27 | 陕西理工学院 | Portable wireless snore monitoring system |
| CN106409317A (en) * | 2016-09-29 | 2017-02-15 | 北京小米移动软件有限公司 | Somniloquy extraction method and apparatus, and apparatus for extracting somniloquy |
| CN107981844A (en) * | 2017-12-08 | 2018-05-04 | 绵眠（上海）智能科技有限公司 | A kind of sound of snoring recognition methods and system based on piezoelectric membrane |
| CN111467644A (en) * | 2013-07-08 | 2020-07-31 | 瑞思迈传感器技术有限公司 | Method and system for sleep management |
| CN112022122A (en) * | 2020-09-29 | 2020-12-04 | 深圳职业技术学院 | Sleep monitoring earphone |
| TWI735879B (en) * | 2019-05-16 | 2021-08-11 | 醫療財團法人徐元智先生醫藥基金會亞東紀念醫院 | Method of predicting sleep apnea from snoring using neural network |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2032445U (en) * | 1988-02-27 | 1989-02-15 | 李幼华 | Breathe suspending monitor |
| US20030066529A1 (en) * | 2001-10-10 | 2003-04-10 | Ric Investments, Inc. | Snore detecting method and apparatus |
| CN1803089A (en) * | 2006-01-20 | 2006-07-19 | 浙江工业大学 | Constrain-free, imperceptible sleep disorder measuring device and its method |
| US7387124B2 (en) * | 2004-03-25 | 2008-06-17 | Sanyo Electric Co., Ltd. | Method of and device for snore detection |
-
2012
- 2012-12-06 CN CN201210529648.9A patent/CN103006182B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2032445U (en) * | 1988-02-27 | 1989-02-15 | 李幼华 | Breathe suspending monitor |
| US20030066529A1 (en) * | 2001-10-10 | 2003-04-10 | Ric Investments, Inc. | Snore detecting method and apparatus |
| US7387124B2 (en) * | 2004-03-25 | 2008-06-17 | Sanyo Electric Co., Ltd. | Method of and device for snore detection |
| CN1803089A (en) * | 2006-01-20 | 2006-07-19 | 浙江工业大学 | Constrain-free, imperceptible sleep disorder measuring device and its method |
Non-Patent Citations (2)
| Title |
|---|
| 周雪琴，等: "单纯型鼾症与混合型睡眠呼吸暂停低通气综合征多导睡眠检测分析", 《重庆医学》, vol. 39, no. 18, 30 September 2010 (2010-09-30) * |
| 陈伟伟: "基于鼾声检测的睡眠呼吸暂停低通气综合症诊断", 《中国优秀硕士学位论文全文数据库 医药卫生科技辑》, no. 05, 15 May 2011 (2011-05-15) * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103251388A (en) * | 2013-04-25 | 2013-08-21 | 北京大学深圳研究生院 | Method and system of snoring monitoring and prevention and treatment based on smart phone platform |
| CN111467644A (en) * | 2013-07-08 | 2020-07-31 | 瑞思迈传感器技术有限公司 | Method and system for sleep management |
| CN103385707A (en) * | 2013-07-31 | 2013-11-13 | 太仓市同维电子有限公司 | Intelligent router capable of distinguishing snore types and distinguishing method thereof |
| CN103622697A (en) * | 2013-11-27 | 2014-03-12 | 广州医学院第一附属医院 | Sleeping breathing pathological typing method |
| CN103622697B (en) * | 2013-11-27 | 2015-12-30 | 广州医学院第一附属医院 | A kind of sleep-respiratory pathological method |
| CN103735267A (en) * | 2014-01-02 | 2014-04-23 | 上海大学 | Device for screening OSAHS (Obstructive Sleep Apnea-Hypopnea Syndrome) based on snore |
| CN105796055A (en) * | 2016-03-02 | 2016-07-27 | 陕西理工学院 | Portable wireless snore monitoring system |
| CN106409317A (en) * | 2016-09-29 | 2017-02-15 | 北京小米移动软件有限公司 | Somniloquy extraction method and apparatus, and apparatus for extracting somniloquy |
| CN106409317B (en) * | 2016-09-29 | 2020-02-07 | 北京小米移动软件有限公司 | Method and device for extracting dream speech |
| CN107981844A (en) * | 2017-12-08 | 2018-05-04 | 绵眠（上海）智能科技有限公司 | A kind of sound of snoring recognition methods and system based on piezoelectric membrane |
| TWI735879B (en) * | 2019-05-16 | 2021-08-11 | 醫療財團法人徐元智先生醫藥基金會亞東紀念醫院 | Method of predicting sleep apnea from snoring using neural network |
| CN112022122A (en) * | 2020-09-29 | 2020-12-04 | 深圳职业技术学院 | Sleep monitoring earphone |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103006182B (en) | 2014-12-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103006182B (en) | Household preliminary detecting system of SAHS (Sleep Apnea Hypopnea Syndrome) | |
| Massé et al. | Miniaturized wireless ECG monitor for real-time detection of epileptic seizures | |
| CN111631697A (en) | Intelligent sleep and fatigue state information monitoring control system and method and monitor | |
| CN104739412A (en) | Method and equipment for monitoring sleep apnea | |
| CN103976710B (en) | Health monitoring systems and collecting method thereof | |
| CN105232032A (en) | Remote electrocardiograph monitoring and early warning system and method based on wavelet analysis | |
| CN104274202A (en) | Electronic stethoscope and electronic stethoscopy system | |
| CN109215791A (en) | Health control method, system, equipment and storage medium based on multi information decision | |
| CN104410747A (en) | A method and system for controlling automatically an audio and video application by a wearable intelligent device | |
| CN101986678A (en) | Smart mobile phone for monitoring multiple physiological parameters in real time | |
| CN103637782B (en) | A kind of health monitoring system based on intelligent terminal and method | |
| CN110022924A (en) | Householder method of sleeping and terminal | |
| CN105078436A (en) | Sleep monitoring system and method capable of preventing nightmare | |
| CN104799849A (en) | Portable sleep apnea syndrome monitoring method and device | |
| CN112022122A (en) | Sleep monitoring earphone | |
| CN104434312A (en) | Monitoring equipment and physiological parameter processing method and system thereof | |
| CN105496362A (en) | Sleep state monitoring system and method | |
| CN104107036A (en) | Household portable monitoring device for sleep apnea | |
| CN107569212B (en) | Equipment and system for detecting apnea syndrome based on heart rate | |
| CN204671158U (en) | Based on sleep-respiratory state signal collecting equipment and the monitoring system of bio-impedance | |
| CN201847676U (en) | Physiological monitoring device | |
| CN116048250A (en) | Sleep management method and device based on wearable equipment | |
| CN114220244B (en) | Home-based care risk detection system and method with front study and judgment | |
| CN203802456U (en) | Bluetooth wireless sleep monitoring device | |
| CN114190916B (en) | Fabric sensor-based child respiration monitoring method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220129 Address after: No.33, Lane 159, Taiye Road, Fengxian District, Shanghai, 201400 Patentee after: Shanghai Weiyi Mingda Information Technology Co.,Ltd. Address before: Hangzhou City, Zhejiang province 310014 City Zhaohui District Six Patentee before: ZHEJIANG University OF TECHNOLOGY Effective date of registration: 20220129 Address after: 110000 No. 10-4, Jinhui street, Hunnan District, Shenyang City, Liaoning Province Patentee after: SHENYANG RMS MEDICAL TECH CO.,LTD. Address before: No.33, Lane 159, Taiye Road, Fengxian District, Shanghai, 201400 Patentee before: Shanghai Weiyi Mingda Information Technology Co.,Ltd. |
|
| TR01 | Transfer of patent right |